THE EFFECT OF FEATURE EXTRACTION ON COVID-19 CLASSIFICATION

• DOI: 10.25271/sjuoz.2024.12.2.1204
• Publication Date: 2024-06-03T09:11:29Z
• Authors: Rebin A. Hamaamin; Shakhawan H. Wady; Ali W. Kareem San...
• Keywords: Feature (linguistics); 2019-20 coronavirus outbreak

X-ray imaging stands as a prominent technique for diagnosing COVID-19, and it also serves crucial tool in the medical field analysis of various diseases. Numerous approaches are available to facilitate this analysis. Among these techniques, one involves utilization Feature Extractor, which effectively captures pertinent characteristics from images. In recent study, comprehensive examination was conducted using 25 distinct feature extractors on images specific COVID-19 cases. These were categorized into two classes: COVID-19-positive non-COVID-19. To enable thorough evaluation, sequence machine learning classifiers employed The outcomes derived experimentation gauged magnitude impact that each individual exerted COVID-19-related imagery. This assessment aimed determine efficacy levels terms detection capability. Consequently, distinction emerged between more effective less extractors, shedding light their varying degrees contribution process. Moreover, comparative performance different became evident, revealing exhibited superior when measured against counterparts.